Pandas Profiling Report

Dataset statistics

Number of variables	29
Number of observations	3756
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	851.1 KiB
Average record size in memory	232.0 B

Variable types

Numeric	17
Categorical	12

Alerts

`director_name` has a high cardinality: 1659 distinct values	High cardinality
`actor_2_name` has a high cardinality: 2188 distinct values	High cardinality
`genres` has a high cardinality: 745 distinct values	High cardinality
`actor_1_name` has a high cardinality: 1428 distinct values	High cardinality
`movie_title` has a high cardinality: 3655 distinct values	High cardinality
`actor_3_name` has a high cardinality: 2587 distinct values	High cardinality
`plot_keywords` has a high cardinality: 3656 distinct values	High cardinality
`movie_imdb_link` has a high cardinality: 3656 distinct values	High cardinality
`df_index` is highly correlated with `gross` and 1 other fields	High correlation
`num_critic_for_reviews` is highly correlated with `num_voted_users` and 2 other fields	High correlation
`actor_3_facebook_likes` is highly correlated with `actor_1_facebook_likes` and 2 other fields	High correlation
`actor_1_facebook_likes` is highly correlated with `actor_3_facebook_likes` and 2 other fields	High correlation
`gross` is highly correlated with `df_index` and 3 other fields	High correlation
`num_voted_users` is highly correlated with `num_critic_for_reviews` and 2 other fields	High correlation
`cast_total_facebook_likes` is highly correlated with `actor_3_facebook_likes` and 2 other fields	High correlation
`num_user_for_reviews` is highly correlated with `num_critic_for_reviews` and 2 other fields	High correlation
`budget` is highly correlated with `df_index` and 1 other fields	High correlation
`title_year` is highly correlated with `num_critic_for_reviews`	High correlation
`actor_2_facebook_likes` is highly correlated with `actor_3_facebook_likes` and 2 other fields	High correlation
`num_critic_for_reviews` is highly correlated with `num_voted_users` and 2 other fields	High correlation
`actor_3_facebook_likes` is highly correlated with `actor_2_facebook_likes`	High correlation
`actor_1_facebook_likes` is highly correlated with `cast_total_facebook_likes`	High correlation
`gross` is highly correlated with `num_voted_users` and 1 other fields	High correlation
`num_voted_users` is highly correlated with `num_critic_for_reviews` and 3 other fields	High correlation
`cast_total_facebook_likes` is highly correlated with `actor_1_facebook_likes` and 1 other fields	High correlation
`num_user_for_reviews` is highly correlated with `num_critic_for_reviews` and 2 other fields	High correlation
`actor_2_facebook_likes` is highly correlated with `actor_3_facebook_likes` and 1 other fields	High correlation
`movie_facebook_likes` is highly correlated with `num_critic_for_reviews` and 1 other fields	High correlation
`df_index` is highly correlated with `budget`	High correlation
`num_critic_for_reviews` is highly correlated with `num_voted_users` and 1 other fields	High correlation
`actor_3_facebook_likes` is highly correlated with `cast_total_facebook_likes` and 1 other fields	High correlation
`actor_1_facebook_likes` is highly correlated with `cast_total_facebook_likes` and 1 other fields	High correlation
`num_voted_users` is highly correlated with `num_critic_for_reviews` and 1 other fields	High correlation
`cast_total_facebook_likes` is highly correlated with `actor_3_facebook_likes` and 2 other fields	High correlation
`num_user_for_reviews` is highly correlated with `num_critic_for_reviews` and 1 other fields	High correlation
`budget` is highly correlated with `df_index`	High correlation
`actor_2_facebook_likes` is highly correlated with `actor_3_facebook_likes` and 2 other fields	High correlation
`language` is highly correlated with `country`	High correlation
`country` is highly correlated with `language`	High correlation
`df_index` is highly correlated with `gross`	High correlation
`num_critic_for_reviews` is highly correlated with `gross` and 4 other fields	High correlation
`duration` is highly correlated with `country`	High correlation
`director_facebook_likes` is highly correlated with `language`	High correlation
`actor_3_facebook_likes` is highly correlated with `gross` and 3 other fields	High correlation
`actor_1_facebook_likes` is highly correlated with `cast_total_facebook_likes`	High correlation
`gross` is highly correlated with `df_index` and 4 other fields	High correlation
`num_voted_users` is highly correlated with `num_critic_for_reviews` and 5 other fields	High correlation
`cast_total_facebook_likes` is highly correlated with `actor_3_facebook_likes` and 2 other fields	High correlation
`num_user_for_reviews` is highly correlated with `num_critic_for_reviews` and 3 other fields	High correlation
`language` is highly correlated with `director_facebook_likes` and 2 other fields	High correlation
`country` is highly correlated with `duration` and 2 other fields	High correlation
`content_rating` is highly correlated with `title_year`	High correlation
`budget` is highly correlated with `language` and 1 other fields	High correlation
`title_year` is highly correlated with `num_critic_for_reviews` and 1 other fields	High correlation
`actor_2_facebook_likes` is highly correlated with `actor_3_facebook_likes` and 1 other fields	High correlation
`imdb_score` is highly correlated with `num_voted_users` and 1 other fields	High correlation
`movie_facebook_likes` is highly correlated with `num_critic_for_reviews` and 1 other fields	High correlation
`actor_1_facebook_likes` is highly skewed (γ1 = 20.3394708)	Skewed
`budget` is highly skewed (γ1 = 44.17414414)	Skewed
`movie_title` is uniformly distributed	Uniform
`actor_3_name` is uniformly distributed	Uniform
`plot_keywords` is uniformly distributed	Uniform
`movie_imdb_link` is uniformly distributed	Uniform
`df_index` has unique values	Unique
`director_facebook_likes` has 642 (17.1%) zeros	Zeros
`facenumber_in_poster` has 1582 (42.1%) zeros	Zeros
`movie_facebook_likes` has 1742 (46.4%) zeros	Zeros

Reproduction

Analysis started	2022-05-11 15:02:11.244909
Analysis finished	2022-05-11 15:03:56.565576
Duration	1 minute and 45.32 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

df_index
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct	3756
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2139.449414

Minimum	0
Maximum	5042
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	29.5 KiB

Quantile statistics

Minimum	0
5-th percentile	193.75
Q1	989.75
median	2033.5
Q3	3163.25
95-th percentile	4538.25
Maximum	5042
Range	5042
Interquartile range (IQR)	2173.5

Descriptive statistics

Standard deviation	1345.761978
Coefficient of variation (CV)	0.6290225743
Kurtosis	-0.9680602618
Mean	2139.449414
Median Absolute Deviation (MAD)	1085.5
Skewness	0.2735491187
Sum	8035772
Variance	1811075.302
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1	< 0.1%
2787	1	< 0.1%
2771	1	< 0.1%
2773	1	< 0.1%
2774	1	< 0.1%
2776	1	< 0.1%
2777	1	< 0.1%
2779	1	< 0.1%
2780	1	< 0.1%
2781	1	< 0.1%
Other values (3746)	3746	99.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%
10	1	< 0.1%

Value	Count	Frequency (%)
5042	1	< 0.1%
5035	1	< 0.1%
5033	1	< 0.1%
5027	1	< 0.1%
5026	1	< 0.1%
5025	1	< 0.1%
5015	1	< 0.1%
5012	1	< 0.1%
5011	1	< 0.1%
5008	1	< 0.1%

color
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	29.5 KiB

Color	3632
Black and White	124

Length

Max length	16
Median length	5
Mean length	5.36315229
Min length	5

Characters and Unicode

Total characters	20144
Distinct characters	16
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Color
2nd row	Color
3rd row	Color
4th row	Color
5th row	Color

Common Values

Value	Count	Frequency (%)
Color	3632	96.7%
Black and White	124	3.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
color	3632	90.7%
black	124	3.1%
and	124	3.1%
white	124	3.1%

Most occurring characters

Value	Count	Frequency (%)
o	7264	36.1%
l	3756	18.6%
C	3632	18.0%
r	3632	18.0%
	372	1.8%
a	248	1.2%
B	124	0.6%
c	124	0.6%
k	124	0.6%
n	124	0.6%
Other values (6)	744	3.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	15892	78.9%
Uppercase Letter	3880	19.3%
Space Separator	372	1.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	7264	45.7%
l	3756	23.6%
r	3632	22.9%
a	248	1.6%
c	124	0.8%
k	124	0.8%
n	124	0.8%
d	124	0.8%
h	124	0.8%
i	124	0.8%
Other values (2)	248	1.6%

Uppercase Letter

Value	Count	Frequency (%)
C	3632	93.6%
B	124	3.2%
W	124	3.2%

Space Separator

Value	Count	Frequency (%)
	372	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	19772	98.2%
Common	372	1.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	7264	36.7%
l	3756	19.0%
C	3632	18.4%
r	3632	18.4%
a	248	1.3%
B	124	0.6%
c	124	0.6%
k	124	0.6%
n	124	0.6%
d	124	0.6%
Other values (5)	620	3.1%

Common

Value	Count	Frequency (%)
	372	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	20144	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	7264	36.1%
l	3756	18.6%
C	3632	18.0%
r	3632	18.0%
	372	1.8%
a	248	1.2%
B	124	0.6%
c	124	0.6%
k	124	0.6%
n	124	0.6%
Other values (6)	744	3.7%

director_name
Categorical

HIGH CARDINALITY

Distinct	1659
Distinct (%)	44.2%
Missing	0
Missing (%)	0.0%
Memory size	29.5 KiB

Steven Spielberg	25
Clint Eastwood	19
Woody Allen	19
Ridley Scott	17
Martin Scorsese	16
Other values (1654)	3660

Length

Max length	32
Median length	24
Mean length	13.03541001
Min length	3

Characters and Unicode

Total characters	48961
Distinct characters	74
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	942 ?
Unique (%)	25.1%

Sample

1st row	James Cameron
2nd row	Gore Verbinski
3rd row	Sam Mendes
4th row	Christopher Nolan
5th row	Andrew Stanton

Common Values

Value	Count	Frequency (%)
Steven Spielberg	25	0.7%
Clint Eastwood	19	0.5%
Woody Allen	19	0.5%
Ridley Scott	17	0.5%
Martin Scorsese	16	0.4%
Steven Soderbergh	16	0.4%
Tim Burton	16	0.4%
Spike Lee	15	0.4%
Renny Harlin	15	0.4%
Ron Howard	13	0.3%
Other values (1649)	3585	95.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
john	147	1.9%
david	116	1.5%
michael	97	1.2%
peter	75	1.0%
james	69	0.9%
robert	68	0.9%
paul	66	0.8%
steven	56	0.7%
richard	55	0.7%
scott	54	0.7%
Other values (2125)	6995	89.7%

Most occurring characters

Value	Count	Frequency (%)
e	4751	9.7%
	4042	8.3%
a	3836	7.8%
n	3551	7.3%
r	3390	6.9%
o	2922	6.0%
i	2754	5.6%
l	2227	4.5%
t	1797	3.7%
s	1569	3.2%
Other values (64)	18122	37.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	36692	74.9%
Uppercase Letter	7974	16.3%
Space Separator	4042	8.3%
Other Punctuation	191	0.4%
Dash Punctuation	62	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	4751	12.9%
a	3836	10.5%
n	3551	9.7%
r	3390	9.2%
o	2922	8.0%
i	2754	7.5%
l	2227	6.1%
t	1797	4.9%
s	1569	4.3%
h	1384	3.8%
Other values (29)	8511	23.2%

Uppercase Letter

Value	Count	Frequency (%)
S	781	9.8%
J	703	8.8%
M	670	8.4%
R	590	7.4%
C	538	6.7%
B	503	6.3%
D	461	5.8%
A	415	5.2%
L	381	4.8%
P	380	4.8%
Other values (21)	2552	32.0%

Other Punctuation

Value	Count	Frequency (%)
.	176	92.1%
'	15	7.9%

Space Separator

Value	Count	Frequency (%)
	4042	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	62	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	44666	91.2%
Common	4295	8.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	4751	10.6%
a	3836	8.6%
n	3551	8.0%
r	3390	7.6%
o	2922	6.5%
i	2754	6.2%
l	2227	5.0%
t	1797	4.0%
s	1569	3.5%
h	1384	3.1%
Other values (60)	16485	36.9%

Common

Value	Count	Frequency (%)
	4042	94.1%
.	176	4.1%
-	62	1.4%
'	15	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	48870	99.8%
None	91	0.2%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	4751	9.7%
	4042	8.3%
a	3836	7.8%
n	3551	7.3%
r	3390	6.9%
o	2922	6.0%
i	2754	5.6%
l	2227	4.6%
t	1797	3.7%
s	1569	3.2%
Other values (46)	18031	36.9%

None

Value	Count	Frequency (%)
é	23	25.3%
á	15	16.5%
ö	13	14.3%
ó	11	12.1%
å	6	6.6%
ñ	5	5.5%
ç	4	4.4%
í	3	3.3%
Ô	2	2.2%
æ	1	1.1%
Other values (8)	8	8.8%

num_critic_for_reviews
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	525
Distinct (%)	14.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	167.378328

Minimum	2
Maximum	813
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	29.5 KiB

Quantile statistics

Minimum	2
5-th percentile	28
Q1	77
median	138.5
Q3	224
95-th percentile	417
Maximum	813
Range	811
Interquartile range (IQR)	147

Descriptive statistics

Standard deviation	123.4520402
Coefficient of variation (CV)	0.7375628713
Kurtosis	2.529591949
Mean	167.378328
Median Absolute Deviation (MAD)	70.5
Skewness	1.424722665
Sum	628673
Variance	15240.40623
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
81	29	0.8%
98	23	0.6%
111	22	0.6%
63	22	0.6%
94	22	0.6%
112	22	0.6%
97	22	0.6%
60	21	0.6%
75	21	0.6%
61	21	0.6%
Other values (515)	3531	94.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	3	0.1%
4	2	0.1%
5	2	0.1%
6	1	< 0.1%
7	1	< 0.1%
8	4	0.1%
9	8	0.2%
10	8	0.2%
11	7	0.2%
12	9	0.2%

Value	Count	Frequency (%)
813	1	< 0.1%
775	1	< 0.1%
765	1	< 0.1%
750	2	0.1%
739	1	< 0.1%
738	1	< 0.1%
733	1	< 0.1%
723	1	< 0.1%
712	1	< 0.1%
703	2	0.1%

duration
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	151
Distinct (%)	4.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	110.2579872

Minimum	37
Maximum	330
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	29.5 KiB

Quantile statistics

Minimum	37
5-th percentile	85
Q1	96
median	106
Q3	120
95-th percentile	148
Maximum	330
Range	293
Interquartile range (IQR)	24

Descriptive statistics

Standard deviation	22.64671656
Coefficient of variation (CV)	0.2053975148
Kurtosis	12.62739704
Mean	110.2579872
Median Absolute Deviation (MAD)	12
Skewness	2.402551754
Sum	414129
Variance	512.8737711
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
101	113	3.0%
100	104	2.8%
98	103	2.7%
95	95	2.5%
99	93	2.5%
107	92	2.4%
106	91	2.4%
90	90	2.4%
97	90	2.4%
110	88	2.3%
Other values (141)	2797	74.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
37	1	< 0.1%
45	1	< 0.1%
53	1	< 0.1%
63	1	< 0.1%
66	1	< 0.1%
68	2	0.1%
69	1	< 0.1%
72	3	0.1%
73	2	0.1%
74	5	0.1%

Value	Count	Frequency (%)
330	1	< 0.1%
325	1	< 0.1%
300	1	< 0.1%
293	1	< 0.1%
289	1	< 0.1%
280	1	< 0.1%
271	1	< 0.1%
251	2	0.1%
240	1	< 0.1%
236	1	< 0.1%

director_facebook_likes
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	395
Distinct (%)	10.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	807.3365282

Minimum	0
Maximum	23000
Zeros	642
Zeros (%)	17.1%
Negative	0
Negative (%)	0.0%
Memory size	29.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	11
median	64
Q3	235
95-th percentile	2000
Maximum	23000
Range	23000
Interquartile range (IQR)	224

Descriptive statistics

Standard deviation	3068.171683
Coefficient of variation (CV)	3.800362767
Kurtosis	22.25900267
Mean	807.3365282
Median Absolute Deviation (MAD)	64
Skewness	4.754529215
Sum	3032356
Variance	9413677.474
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	642	17.1%
6	40	1.1%
7	40	1.1%
11	39	1.0%
13	38	1.0%
12	36	1.0%
10	35	0.9%
23	34	0.9%
8	31	0.8%
11000	31	0.8%
Other values (385)	2790	74.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	642	17.1%
2	24	0.6%
3	30	0.8%
4	30	0.8%
5	26	0.7%
6	40	1.1%
7	40	1.1%
8	31	0.8%
9	31	0.8%
10	35	0.9%

Value	Count	Frequency (%)
23000	1	< 0.1%
22000	8	0.2%
21000	10	0.3%
18000	4	0.1%
17000	16	0.4%
16000	27	0.7%
15000	2	0.1%
14000	29	0.8%
13000	19	0.5%
12000	17	0.5%

actor_3_facebook_likes
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	882
Distinct (%)	23.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	771.2795527

Minimum	0
Maximum	23000
Zeros	27
Zeros (%)	0.7%
Negative	0
Negative (%)	0.0%
Memory size	29.5 KiB

Quantile statistics

Minimum	0
5-th percentile	24
Q1	194
median	436
Q3	691
95-th percentile	1000
Maximum	23000
Range	23000
Interquartile range (IQR)	497

Descriptive statistics

Standard deviation	1894.249869
Coefficient of variation (CV)	2.455983518
Kurtosis	45.77112024
Mean	771.2795527
Median Absolute Deviation (MAD)	249
Skewness	6.370113892
Sum	2896926
Variance	3588182.567
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1000	116	3.1%
11000	28	0.7%
0	27	0.7%
3000	26	0.7%
2000	25	0.7%
4000	17	0.5%
10000	16	0.4%
826	15	0.4%
748	14	0.4%
322	14	0.4%
Other values (872)	3458	92.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	27	0.7%
2	8	0.2%
3	8	0.2%
4	13	0.3%
5	6	0.2%
6	9	0.2%
7	13	0.3%
8	9	0.2%
9	6	0.2%
10	5	0.1%

Value	Count	Frequency (%)
23000	2	0.1%
20000	1	< 0.1%
19000	5	0.1%
17000	1	< 0.1%
16000	3	0.1%
15000	1	< 0.1%
14000	6	0.2%
13000	5	0.1%
12000	8	0.2%
11000	28	0.7%

actor_2_name
Categorical

HIGH CARDINALITY

Distinct	2188
Distinct (%)	58.3%
Missing	0
Missing (%)	0.0%
Memory size	29.5 KiB

Morgan Freeman	20
Charlize Theron	14
Brad Pitt	14
James Franco	11
Meryl Streep	10
Other values (2183)	3687

Length

Max length	28
Median length	25
Mean length	13.08892439
Min length	3

Characters and Unicode

Total characters	49162
Distinct characters	78
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1460 ?
Unique (%)	38.9%

Sample

1st row	Joel David Moore
2nd row	Orlando Bloom
3rd row	Rory Kinnear
4th row	Christian Bale
5th row	Samantha Morton

Common Values

Value	Count	Frequency (%)
Morgan Freeman	20	0.5%
Charlize Theron	14	0.4%
Brad Pitt	14	0.4%
James Franco	11	0.3%
Meryl Streep	10	0.3%
Jason Flemyng	10	0.3%
Adam Sandler	9	0.2%
Will Ferrell	9	0.2%
Bruce Willis	9	0.2%
Angelina Jolie Pitt	9	0.2%
Other values (2178)	3641	96.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
michael	70	0.9%
tom	41	0.5%
james	41	0.5%
jason	40	0.5%
david	39	0.5%
scott	39	0.5%
robert	34	0.4%
john	32	0.4%
adam	31	0.4%
thomas	31	0.4%
Other values (2926)	7391	94.9%

Most occurring characters

Value	Count	Frequency (%)
e	4631	9.4%
a	4364	8.9%
	4033	8.2%
n	3571	7.3%
r	3269	6.6%
i	3068	6.2%
o	2750	5.6%
l	2588	5.3%
t	1748	3.6%
s	1625	3.3%
Other values (68)	17515	35.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	36939	75.1%
Uppercase Letter	8000	16.3%
Space Separator	4033	8.2%
Other Punctuation	141	0.3%
Dash Punctuation	45	0.1%
Decimal Number	4	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	4631	12.5%
a	4364	11.8%
n	3571	9.7%
r	3269	8.8%
i	3068	8.3%
o	2750	7.4%
l	2588	7.0%
t	1748	4.7%
s	1625	4.4%
h	1333	3.6%
Other values (36)	7992	21.6%

Uppercase Letter

Value	Count	Frequency (%)
M	752	9.4%
C	613	7.7%
S	609	7.6%
B	565	7.1%
J	559	7.0%
D	500	6.2%
R	450	5.6%
A	446	5.6%
L	382	4.8%
T	358	4.5%
Other values (16)	2766	34.6%

Other Punctuation

Value	Count	Frequency (%)
.	93	66.0%
'	48	34.0%

Decimal Number

Value	Count	Frequency (%)
0	2	50.0%
5	2	50.0%

Space Separator

Value	Count	Frequency (%)
	4033	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	45	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	44939	91.4%
Common	4223	8.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	4631	10.3%
a	4364	9.7%
n	3571	7.9%
r	3269	7.3%
i	3068	6.8%
o	2750	6.1%
l	2588	5.8%
t	1748	3.9%
s	1625	3.6%
h	1333	3.0%
Other values (62)	15992	35.6%

Common

Value	Count	Frequency (%)
	4033	95.5%
.	93	2.2%
'	48	1.1%
-	45	1.1%
0	2	< 0.1%
5	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	49075	99.8%
None	87	0.2%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	4631	9.4%
a	4364	8.9%
	4033	8.2%
n	3571	7.3%
r	3269	6.7%
i	3068	6.3%
o	2750	5.6%
l	2588	5.3%
t	1748	3.6%
s	1625	3.3%
Other values (48)	17428	35.5%

None

Value	Count	Frequency (%)
é	27	31.0%
í	13	14.9%
á	8	9.2%
ë	6	6.9%
å	5	5.7%
ø	5	5.7%
ü	3	3.4%
ö	3	3.4%
ó	3	3.4%
ï	2	2.3%
Other values (10)	12	13.8%

actor_1_facebook_likes
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
SKEWED

Distinct	713
Distinct (%)	19.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7751.338658

Minimum	0
Maximum	640000
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	29.5 KiB

Quantile statistics

Minimum	0
5-th percentile	210
Q1	745
median	1000
Q3	13000
95-th percentile	26000
Maximum	640000
Range	640000
Interquartile range (IQR)	12255

Descriptive statistics

Standard deviation	15519.33962
Coefficient of variation (CV)	2.002149603
Kurtosis	757.7504015
Mean	7751.338658
Median Absolute Deviation (MAD)	942.5
Skewness	20.3394708
Sum	29114028
Variance	240849902.3
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1000	348	9.3%
11000	190	5.1%
2000	166	4.4%
3000	137	3.6%
12000	122	3.2%
13000	112	3.0%
14000	110	2.9%
18000	104	2.8%
10000	97	2.6%
22000	71	1.9%
Other values (703)	2299	61.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	< 0.1%
2	5	0.1%
3	2	0.1%
5	3	0.1%
6	2	0.1%
7	2	0.1%
9	1	< 0.1%
11	1	< 0.1%
15	2	0.1%
17	1	< 0.1%

Value	Count	Frequency (%)
640000	1	< 0.1%
260000	1	< 0.1%
164000	1	< 0.1%
137000	2	0.1%
87000	7	0.2%
49000	25	0.7%
46000	1	< 0.1%
45000	5	0.1%
44000	2	0.1%
40000	39	1.0%

gross
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3638
Distinct (%)	96.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	52612824.24

Minimum	162
Maximum	760505847
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	29.5 KiB

Quantile statistics

Minimum	162
5-th percentile	196022.25
Q1	8270232.75
median	30093107
Q3	66881940.75
95-th percentile	186762606.5
Maximum	760505847
Range	760505685
Interquartile range (IQR)	58611708

Descriptive statistics

Standard deviation	70317866.91
Coefficient of variation (CV)	1.336515725
Kurtosis	13.97005326
Mean	52612824.24
Median Absolute Deviation (MAD)	25209842
Skewness	3.029374712
Sum	1.976137678 × 10¹¹
Variance	4.944602407 × 10¹⁵
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
177343675	3	0.1%
5773519	3	0.1%
8000000	3	0.1%
218051260	3	0.1%
34964818	3	0.1%
144512310	3	0.1%
47000000	3	0.1%
24343673	2	0.1%
403932	2	0.1%
58607007	2	0.1%
Other values (3628)	3729	99.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
162	1	< 0.1%
703	1	< 0.1%
721	1	< 0.1%
1111	1	< 0.1%
1332	1	< 0.1%
2436	1	< 0.1%
2468	1	< 0.1%
2580	1	< 0.1%
2964	1	< 0.1%
3478	1	< 0.1%

Value	Count	Frequency (%)
760505847	1	< 0.1%
658672302	1	< 0.1%
652177271	1	< 0.1%
623279547	2	0.1%
533316061	1	< 0.1%
474544677	1	< 0.1%
460935665	1	< 0.1%
458991599	1	< 0.1%
448130642	1	< 0.1%
436471036	1	< 0.1%

genres
Categorical

HIGH CARDINALITY

Distinct	745
Distinct (%)	19.8%
Missing	0
Missing (%)	0.0%
Memory size	29.5 KiB

Comedy\|Drama\|Romance	147
Drama	141
Comedy\|Drama	138
Comedy	138
Comedy\|Romance	131
Other values (740)	3061

Length

Max length	64
Median length	52
Mean length	21.22018104
Min length	5

Characters and Unicode

Total characters	79703
Distinct characters	32
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	393 ?
Unique (%)	10.5%

Sample

1st row	Action\|Adventure\|Fantasy\|Sci-Fi
2nd row	Action\|Adventure\|Fantasy
3rd row	Action\|Adventure\|Thriller
4th row	Action\|Thriller
5th row	Action\|Adventure\|Sci-Fi

Common Values

Value	Count	Frequency (%)
Comedy\|Drama\|Romance	147	3.9%
Drama	141	3.8%
Comedy\|Drama	138	3.7%
Comedy	138	3.7%
Comedy\|Romance	131	3.5%
Drama\|Romance	115	3.1%
Crime\|Drama\|Thriller	82	2.2%
Action\|Crime\|Thriller	56	1.5%
Action\|Crime\|Drama\|Thriller	50	1.3%
Action\|Adventure\|Sci-Fi	48	1.3%
Other values (735)	2710	72.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
comedy\|drama\|romance	147	3.9%
drama	141	3.8%
comedy\|drama	138	3.7%
comedy	138	3.7%
comedy\|romance	131	3.5%
drama\|romance	115	3.1%
crime\|drama\|thriller	82	2.2%
action\|crime\|thriller	56	1.5%
action\|crime\|drama\|thriller	50	1.3%
action\|adventure\|sci-fi	48	1.3%
Other values (735)	2710	72.2%

Most occurring characters

Value	Count	Frequency (%)
r	7970	10.0%
\|	7480	9.4%
a	6829	8.6%
e	6255	7.8%
m	5606	7.0%
i	5248	6.6%
o	4841	6.1%
y	3611	4.5%
n	3602	4.5%
t	3228	4.1%
Other values (22)	25033	31.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	59993	75.3%
Uppercase Letter	11733	14.7%
Math Symbol	7480	9.4%
Dash Punctuation	497	0.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	7970	13.3%
a	6829	11.4%
e	6255	10.4%
m	5606	9.3%
i	5248	8.7%
o	4841	8.1%
y	3611	6.0%
n	3602	6.0%
t	3228	5.4%
l	2773	4.6%
Other values (8)	10030	16.7%

Uppercase Letter

Value	Count	Frequency (%)
C	2170	18.5%
D	1938	16.5%
A	1936	16.5%
F	1446	12.3%
T	1117	9.5%
R	859	7.3%
S	644	5.5%
M	631	5.4%
H	541	4.6%
B	239	2.0%
Other values (2)	212	1.8%

Math Symbol

Value	Count	Frequency (%)
\|	7480	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	497	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	71726	90.0%
Common	7977	10.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	7970	11.1%
a	6829	9.5%
e	6255	8.7%
m	5606	7.8%
i	5248	7.3%
o	4841	6.7%
y	3611	5.0%
n	3602	5.0%
t	3228	4.5%
l	2773	3.9%
Other values (20)	21763	30.3%

Common

Value	Count	Frequency (%)
\|	7480	93.8%
-	497	6.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	79703	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	7970	10.0%
\|	7480	9.4%
a	6829	8.6%
e	6255	7.8%
m	5606	7.0%
i	5248	6.6%
o	4841	6.1%
y	3611	4.5%
n	3602	4.5%
t	3228	4.1%
Other values (22)	25033	31.4%

actor_1_name
Categorical

HIGH CARDINALITY

Distinct	1428
Distinct (%)	38.0%
Missing	0
Missing (%)	0.0%
Memory size	29.5 KiB

Robert De Niro	42
Johnny Depp	39
J.K. Simmons	31
Nicolas Cage	31
Denzel Washington	30
Other values (1423)	3583

Length

Max length	27
Median length	24
Mean length	13.14882854
Min length	4

Characters and Unicode

Total characters	49387
Distinct characters	72
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	870 ?
Unique (%)	23.2%

Sample

1st row	CCH Pounder
2nd row	Johnny Depp
3rd row	Christoph Waltz
4th row	Tom Hardy
5th row	Daryl Sabara

Common Values

Value	Count	Frequency (%)
Robert De Niro	42	1.1%
Johnny Depp	39	1.0%
J.K. Simmons	31	0.8%
Nicolas Cage	31	0.8%
Denzel Washington	30	0.8%
Bruce Willis	29	0.8%
Matt Damon	28	0.7%
Liam Neeson	26	0.7%
Robert Downey Jr.	26	0.7%
Robin Williams	25	0.7%
Other values (1418)	3449	91.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
robert	94	1.2%
tom	84	1.1%
michael	63	0.8%
de	48	0.6%
jason	46	0.6%
steve	45	0.6%
will	44	0.6%
niro	42	0.5%
johnny	41	0.5%
matt	41	0.5%
Other values (2054)	7238	93.0%

Most occurring characters

Value	Count	Frequency (%)
e	4658	9.4%
a	4168	8.4%
	4030	8.2%
n	3600	7.3%
r	3159	6.4%
i	3148	6.4%
o	2933	5.9%
l	2493	5.0%
t	1945	3.9%
s	1775	3.6%
Other values (62)	17478	35.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	37155	75.2%
Uppercase Letter	7982	16.2%
Space Separator	4030	8.2%
Other Punctuation	168	0.3%
Dash Punctuation	50	0.1%
Decimal Number	2	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	4658	12.5%
a	4168	11.2%
n	3600	9.7%
r	3159	8.5%
i	3148	8.5%
o	2933	7.9%
l	2493	6.7%
t	1945	5.2%
s	1775	4.8%
h	1337	3.6%
Other values (29)	7939	21.4%

Uppercase Letter

Value	Count	Frequency (%)
J	746	9.3%
M	656	8.2%
C	641	8.0%
S	617	7.7%
D	566	7.1%
B	533	6.7%
R	466	5.8%
H	401	5.0%
W	383	4.8%
L	370	4.6%
Other values (17)	2603	32.6%

Other Punctuation

Value	Count	Frequency (%)
.	140	83.3%
'	28	16.7%

Decimal Number

Value	Count	Frequency (%)
5	1	50.0%
0	1	50.0%

Space Separator

Value	Count	Frequency (%)
	4030	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	50	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	45137	91.4%
Common	4250	8.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	4658	10.3%
a	4168	9.2%
n	3600	8.0%
r	3159	7.0%
i	3148	7.0%
o	2933	6.5%
l	2493	5.5%
t	1945	4.3%
s	1775	3.9%
h	1337	3.0%
Other values (56)	15921	35.3%

Common

Value	Count	Frequency (%)
	4030	94.8%
.	140	3.3%
-	50	1.2%
'	28	0.7%
5	1	< 0.1%
0	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	49332	99.9%
None	55	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	4658	9.4%
a	4168	8.4%
	4030	8.2%
n	3600	7.3%
r	3159	6.4%
i	3148	6.4%
o	2933	5.9%
l	2493	5.1%
t	1945	3.9%
s	1775	3.6%
Other values (48)	17423	35.3%

None

Value	Count	Frequency (%)
ë	14	25.5%
é	14	25.5%
á	5	9.1%
å	4	7.3%
í	4	7.3%
ç	3	5.5%
à	2	3.6%
ü	2	3.6%
ø	2	3.6%
ö	1	1.8%
Other values (4)	4	7.3%

movie_title
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	3655
Distinct (%)	97.3%
Missing	0
Missing (%)	0.0%
Memory size	29.5 KiB

Home	3
Pan	3
King Kong	3
Halloween	3
Victor Frankenstein	3
Other values (3650)	3741

Length

Max length	84
Median length	53
Mean length	16.19941427
Min length	2

Characters and Unicode

Total characters	60845
Distinct characters	89
Distinct categories	12 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3560 ?
Unique (%)	94.8%

Sample

1st row	Avatar
2nd row	Pirates of the Caribbean: At World's End
3rd row	Spectre
4th row	The Dark Knight Rises
5th row	John Carter

Common Values

Value	Count	Frequency (%)
Home	3	0.1%
Pan	3	0.1%
King Kong	3	0.1%
Halloween	3	0.1%
Victor Frankenstein	3	0.1%
The Fast and the Furious	3	0.1%
The Island	2	0.1%
Dawn of the Dead	2	0.1%
Around the World in 80 Days	2	0.1%
Mercury Rising	2	0.1%
Other values (3645)	3730	99.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	1204	11.6%
of	353	3.4%
a	132	1.3%
and	104	1.0%
2	97	0.9%
in	97	0.9%
to	71	0.7%
	60	0.6%
man	56	0.5%
on	43	0.4%
Other values (3872)	8130	78.6%

Most occurring characters

Value	Count	Frequency (%)
	6591	10.8%
e	5842	9.6%
	3756	6.2%
a	3562	5.9%
o	3445	5.7%
r	3088	5.1%
n	3064	5.0%
i	2924	4.8%
t	2828	4.6%
s	2247	3.7%
Other values (79)	23498	38.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	40252	66.2%
Space Separator	10347	17.0%
Uppercase Letter	9087	14.9%
Other Punctuation	677	1.1%
Decimal Number	402	0.7%
Dash Punctuation	69	0.1%
Currency Symbol	3	< 0.1%
Other Number	2	< 0.1%
Open Punctuation	2	< 0.1%
Close Punctuation	2	< 0.1%
Other values (2)	2	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	5842	14.5%
a	3562	8.8%
o	3445	8.6%
r	3088	7.7%
n	3064	7.6%
i	2924	7.3%
t	2828	7.0%
s	2247	5.6%
h	2204	5.5%
l	1885	4.7%
Other values (21)	9163	22.8%

Uppercase Letter

Value	Count	Frequency (%)
T	1302	14.3%
S	781	8.6%
M	629	6.9%
B	570	6.3%
D	520	5.7%
C	507	5.6%
A	488	5.4%
H	417	4.6%
L	414	4.6%
W	377	4.1%
Other values (17)	3082	33.9%

Decimal Number

Value	Count	Frequency (%)
2	128	31.8%
3	74	18.4%
0	59	14.7%
1	56	13.9%
4	24	6.0%
5	17	4.2%
8	15	3.7%
9	13	3.2%
6	9	2.2%
7	7	1.7%

Other Punctuation

Value	Count	Frequency (%)
:	284	41.9%
'	154	22.7%
.	98	14.5%
,	49	7.2%
&	47	6.9%
!	25	3.7%
?	12	1.8%
/	7	1.0%
·	1	0.1%

Space Separator

Value	Count	Frequency (%)
	6591	63.7%
	3756	36.3%

Currency Symbol

Value	Count	Frequency (%)
¢	2	66.7%
$	1	33.3%

Open Punctuation

Value	Count	Frequency (%)
(	1	50.0%
[	1	50.0%

Close Punctuation

Value	Count	Frequency (%)
)	1	50.0%
]	1	50.0%

Dash Punctuation

Value	Count	Frequency (%)
-	69	100.0%

Other Number

Value	Count	Frequency (%)
½	2	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	1	100.0%

Math Symbol

Value	Count	Frequency (%)
+	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	49339	81.1%
Common	11506	18.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	5842	11.8%
a	3562	7.2%
o	3445	7.0%
r	3088	6.3%
n	3064	6.2%
i	2924	5.9%
t	2828	5.7%
s	2247	4.6%
h	2204	4.5%
l	1885	3.8%
Other values (48)	18250	37.0%

Common

Value	Count	Frequency (%)
	6591	57.3%
	3756	32.6%
:	284	2.5%
'	154	1.3%
2	128	1.1%
.	98	0.9%
3	74	0.6%
-	69	0.6%
0	59	0.5%
1	56	0.5%
Other values (21)	237	2.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	57075	93.8%
None	3770	6.2%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	6591	11.5%
e	5842	10.2%
a	3562	6.2%
o	3445	6.0%
r	3088	5.4%
n	3064	5.4%
i	2924	5.1%
t	2828	5.0%
s	2247	3.9%
h	2204	3.9%
Other values (69)	21280	37.3%

None

Value	Count	Frequency (%)
	3756	99.6%
é	4	0.1%
¢	2	0.1%
½	2	0.1%
è	1	< 0.1%
ñ	1	< 0.1%
á	1	< 0.1%
Æ	1	< 0.1%
·	1	< 0.1%
ü	1	< 0.1%

num_voted_users
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3674
Distinct (%)	97.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	105826.7327

Minimum	91
Maximum	1689764
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	29.5 KiB

Quantile statistics

Minimum	91
5-th percentile	3673.25
Q1	19667
median	53973.5
Q3	128602
95-th percentile	385889
Maximum	1689764
Range	1689673
Interquartile range (IQR)	108935

Descriptive statistics

Standard deviation	152035.3993
Coefficient of variation (CV)	1.436644555
Kurtosis	19.98071987
Mean	105826.7327
Median Absolute Deviation (MAD)	41383
Skewness	3.650372696
Sum	397485208
Variance	2.311476264 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3665	3	0.1%
7973	2	0.1%
110486	2	0.1%
5254	2	0.1%
4288	2	0.1%
23928	2	0.1%
113068	2	0.1%
28621	2	0.1%
23023	2	0.1%
12980	2	0.1%
Other values (3664)	3735	99.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
91	1	< 0.1%
154	1	< 0.1%
241	1	< 0.1%
344	1	< 0.1%
397	1	< 0.1%
448	1	< 0.1%
449	1	< 0.1%
475	1	< 0.1%
480	1	< 0.1%
524	1	< 0.1%

Value	Count	Frequency (%)
1689764	1	< 0.1%
1676169	1	< 0.1%
1468200	1	< 0.1%
1347461	1	< 0.1%
1324680	1	< 0.1%
1251222	1	< 0.1%
1238746	1	< 0.1%
1217752	1	< 0.1%
1215718	1	< 0.1%
1155770	1	< 0.1%

cast_total_facebook_likes
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3243
Distinct (%)	86.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11527.10197

Minimum	0
Maximum	656730
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	29.5 KiB

Quantile statistics

Minimum	0
5-th percentile	449
Q1	1919.75
median	4059.5
Q3	16240
95-th percentile	41428.25
Maximum	656730
Range	656730
Interquartile range (IQR)	14320.25

Descriptive statistics

Standard deviation	19122.17691
Coefficient of variation (CV)	1.658888501
Kurtosis	369.5087978
Mean	11527.10197
Median Absolute Deviation (MAD)	3113.5
Skewness	12.89487374
Sum	43295795
Variance	365657649.6
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2730	4	0.1%
1520	4	0.1%
2323	4	0.1%
2	4	0.1%
1136	4	0.1%
2990	4	0.1%
2348	4	0.1%
2486	4	0.1%
1044	4	0.1%
2321	4	0.1%
Other values (3233)	3716	98.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	< 0.1%
2	4	0.1%
4	1	< 0.1%
5	3	0.1%
6	1	< 0.1%
7	1	< 0.1%
11	1	< 0.1%
13	1	< 0.1%
15	2	0.1%
28	1	< 0.1%

Value	Count	Frequency (%)
656730	1	< 0.1%
303717	1	< 0.1%
263584	1	< 0.1%
140268	1	< 0.1%
137712	1	< 0.1%
120797	1	< 0.1%
108016	1	< 0.1%
106759	1	< 0.1%
103354	1	< 0.1%
101383	1	< 0.1%

actor_3_name
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	2587
Distinct (%)	68.9%
Missing	0
Missing (%)	0.0%
Memory size	29.5 KiB

Steve Coogan	8
Ben Mendelsohn	7
Robert Duvall	7
Kirsten Dunst	7
Anne Hathaway	7
Other values (2582)	3720

Length

Max length	27
Median length	24
Mean length	13.05777423
Min length	3

Characters and Unicode

Total characters	49045
Distinct characters	78
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1886 ?
Unique (%)	50.2%

Sample

1st row	Wes Studi
2nd row	Jack Davenport
3rd row	Stephanie Sigman
4th row	Joseph Gordon-Levitt
5th row	Polly Walker

Common Values

Value	Count	Frequency (%)
Steve Coogan	8	0.2%
Ben Mendelsohn	7	0.2%
Robert Duvall	7	0.2%
Kirsten Dunst	7	0.2%
Anne Hathaway	7	0.2%
Sam Shepard	6	0.2%
Craig T. Nelson	6	0.2%
Kevin Dunn	6	0.2%
Stephen Root	6	0.2%
Kevin Pollak	6	0.2%
Other values (2577)	3690	98.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
michael	67	0.9%
james	52	0.7%
david	52	0.7%
john	47	0.6%
robert	37	0.5%
kevin	36	0.5%
peter	31	0.4%
tom	31	0.4%
steve	31	0.4%
scott	29	0.4%
Other values (3336)	7371	94.7%

Most occurring characters

Value	Count	Frequency (%)
e	4630	9.4%
a	4442	9.1%
	4028	8.2%
n	3470	7.1%
r	3123	6.4%
i	2965	6.0%
o	2677	5.5%
l	2673	5.5%
t	1754	3.6%
s	1718	3.5%
Other values (68)	17565	35.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	36762	75.0%
Uppercase Letter	8010	16.3%
Space Separator	4028	8.2%
Other Punctuation	185	0.4%
Dash Punctuation	58	0.1%
Decimal Number	2	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	4630	12.6%
a	4442	12.1%
n	3470	9.4%
r	3123	8.5%
i	2965	8.1%
o	2677	7.3%
l	2673	7.3%
t	1754	4.8%
s	1718	4.7%
h	1364	3.7%
Other values (33)	7946	21.6%

Uppercase Letter

Value	Count	Frequency (%)
M	758	9.5%
S	613	7.7%
J	611	7.6%
B	598	7.5%
C	587	7.3%
R	488	6.1%
D	477	6.0%
A	422	5.3%
L	381	4.8%
H	354	4.4%
Other values (19)	2721	34.0%

Other Punctuation

Value	Count	Frequency (%)
.	141	76.2%
'	44	23.8%

Decimal Number

Value	Count	Frequency (%)
5	1	50.0%
0	1	50.0%

Space Separator

Value	Count	Frequency (%)
	4028	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	58	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	44772	91.3%
Common	4273	8.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	4630	10.3%
a	4442	9.9%
n	3470	7.8%
r	3123	7.0%
i	2965	6.6%
o	2677	6.0%
l	2673	6.0%
t	1754	3.9%
s	1718	3.8%
h	1364	3.0%
Other values (62)	15956	35.6%

Common

Value	Count	Frequency (%)
	4028	94.3%
.	141	3.3%
-	58	1.4%
'	44	1.0%
5	1	< 0.1%
0	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	48950	99.8%
None	95	0.2%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	4630	9.5%
a	4442	9.1%
	4028	8.2%
n	3470	7.1%
r	3123	6.4%
i	2965	6.1%
o	2677	5.5%
l	2673	5.5%
t	1754	3.6%
s	1718	3.5%
Other values (48)	17470	35.7%

None

Value	Count	Frequency (%)
é	33	34.7%
á	11	11.6%
í	7	7.4%
ë	7	7.4%
à	6	6.3%
ü	5	5.3%
ó	5	5.3%
è	4	4.2%
ø	3	3.2%
ô	2	2.1%
Other values (10)	12	12.6%

facenumber_in_poster
Real number (ℝ_≥0)

ZEROS

Distinct	19
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.377263046

Minimum	0
Maximum	43
Zeros	1582
Zeros (%)	42.1%
Negative	0
Negative (%)	0.0%
Memory size	29.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	2
95-th percentile	5
Maximum	43
Range	43
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	2.041540518
Coefficient of variation (CV)	1.482317067
Kurtosis	63.74365948
Mean	1.377263046
Median Absolute Deviation (MAD)	1
Skewness	4.94941434
Sum	5173
Variance	4.167887687
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
0	1582	42.1%
1	955	25.4%
2	533	14.2%
3	294	7.8%
4	163	4.3%
5	76	2.0%
6	57	1.5%
8	32	0.9%
7	30	0.8%
9	11	0.3%
Other values (9)	23	0.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1582	42.1%
1	955	25.4%
2	533	14.2%
3	294	7.8%
4	163	4.3%
5	76	2.0%
6	57	1.5%
7	30	0.8%
8	32	0.9%
9	11	0.3%

Value	Count	Frequency (%)
43	1	< 0.1%
31	1	< 0.1%
19	1	< 0.1%
15	4	0.1%
14	1	< 0.1%
13	1	< 0.1%
12	3	0.1%
11	5	0.1%
10	6	0.2%
9	11	0.3%

plot_keywords
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	3656
Distinct (%)	97.3%
Missing	0
Missing (%)	0.0%
Memory size	29.5 KiB

alien friendship\|alien invasion\|australia\|flying car\|mother daughter relationship	3
1940s\|child hero\|fantasy world\|orphan\|reference to peter pan	3
animal name in title\|ape abducts a woman\|gorilla\|island\|king kong	3
halloween\|masked killer\|michael myers\|slasher\|trick or treat	3
assistant\|experiment\|frankenstein\|medical student\|scientist	3
Other values (3651)	3741

Length

Max length	149
Median length	98
Mean length	52.49813632
Min length	6

Characters and Unicode

Total characters	197183
Distinct characters	42
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3562 ?
Unique (%)	94.8%

Sample

1st row	avatar\|future\|marine\|native\|paraplegic
2nd row	goddess\|marriage ceremony\|marriage proposal\|pirate\|singapore
3rd row	bomb\|espionage\|sequel\|spy\|terrorist
4th row	deception\|imprisonment\|lawlessness\|police officer\|terrorist plot
5th row	alien\|american civil war\|male nipple\|mars\|princess

Common Values

Value	Count	Frequency (%)
alien friendship\|alien invasion\|australia\|flying car\|mother daughter relationship	3	0.1%
1940s\|child hero\|fantasy world\|orphan\|reference to peter pan	3	0.1%
animal name in title\|ape abducts a woman\|gorilla\|island\|king kong	3	0.1%
halloween\|masked killer\|michael myers\|slasher\|trick or treat	3	0.1%
assistant\|experiment\|frankenstein\|medical student\|scientist	3	0.1%
eighteen wheeler\|illegal street racing\|truck\|trucker\|undercover cop	3	0.1%
clone\|environment\|escape\|island\|lottery	2	0.1%
mall\|mayhem\|nurse\|rear entry sex\|survival horror	2	0.1%
19th century\|around the world\|inventor\|martial arts\|train	2	0.1%
autistic child\|boy\|child in danger\|fbi\|nsa	2	0.1%
Other values (3646)	3730	99.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
in	213	1.6%
of	171	1.3%
on	157	1.2%
a	151	1.1%
the	148	1.1%
to	126	0.9%
york	93	0.7%
female	80	0.6%
based	78	0.6%
by	68	0.5%
Other values (9008)	12364	90.6%

Most occurring characters

Value	Count	Frequency (%)
e	19076	9.7%
a	15089	7.7%
\|	14958	7.6%
i	14318	7.3%
r	13997	7.1%
t	12338	6.3%
n	11994	6.1%
o	11955	6.1%
s	10231	5.2%
	9893	5.0%
Other values (32)	63334	32.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	171292	86.9%
Math Symbol	14958	7.6%
Space Separator	9893	5.0%
Decimal Number	856	0.4%
Other Punctuation	182	0.1%
Open Punctuation	1	< 0.1%
Close Punctuation	1	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	19076	11.1%
a	15089	8.8%
i	14318	8.4%
r	13997	8.2%
t	12338	7.2%
n	11994	7.0%
o	11955	7.0%
s	10231	6.0%
l	8540	5.0%
c	7392	4.3%
Other values (16)	46362	27.1%

Decimal Number

Value	Count	Frequency (%)
1	221	25.8%
0	195	22.8%
9	176	20.6%
2	50	5.8%
8	49	5.7%
5	40	4.7%
7	38	4.4%
6	31	3.6%
3	30	3.5%
4	26	3.0%

Other Punctuation

Value	Count	Frequency (%)
.	112	61.5%
'	70	38.5%

Math Symbol

Value	Count	Frequency (%)
\|	14958	100.0%

Space Separator

Value	Count	Frequency (%)
	9893	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	171292	86.9%
Common	25891	13.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	19076	11.1%
a	15089	8.8%
i	14318	8.4%
r	13997	8.2%
t	12338	7.2%
n	11994	7.0%
o	11955	7.0%
s	10231	6.0%
l	8540	5.0%
c	7392	4.3%
Other values (16)	46362	27.1%

Common

Value	Count	Frequency (%)
\|	14958	57.8%
	9893	38.2%
1	221	0.9%
0	195	0.8%
9	176	0.7%
.	112	0.4%
'	70	0.3%
2	50	0.2%
8	49	0.2%
5	40	0.2%
Other values (6)	127	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	197183	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	19076	9.7%
a	15089	7.7%
\|	14958	7.6%
i	14318	7.3%
r	13997	7.1%
t	12338	6.3%
n	11994	6.1%
o	11955	6.1%
s	10231	5.2%
	9893	5.0%
Other values (32)	63334	32.1%

movie_imdb_link
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	3656
Distinct (%)	97.3%
Missing	0
Missing (%)	0.0%
Memory size	29.5 KiB

http://www.imdb.com/title/tt2224026/?ref_=fn_tt_tt_1	3
http://www.imdb.com/title/tt3332064/?ref_=fn_tt_tt_1	3
http://www.imdb.com/title/tt0360717/?ref_=fn_tt_tt_1	3
http://www.imdb.com/title/tt0077651/?ref_=fn_tt_tt_1	3
http://www.imdb.com/title/tt1976009/?ref_=fn_tt_tt_1	3
Other values (3651)	3741

Length

Max length	52
Median length	52
Mean length	52
Min length	52

Characters and Unicode

Total characters	195312
Distinct characters	31
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3562 ?
Unique (%)	94.8%

Sample

1st row	http://www.imdb.com/title/tt0499549/?ref_=fn_tt_tt_1
2nd row	http://www.imdb.com/title/tt0449088/?ref_=fn_tt_tt_1
3rd row	http://www.imdb.com/title/tt2379713/?ref_=fn_tt_tt_1
4th row	http://www.imdb.com/title/tt1345836/?ref_=fn_tt_tt_1
5th row	http://www.imdb.com/title/tt0401729/?ref_=fn_tt_tt_1

Common Values

Value	Count	Frequency (%)
http://www.imdb.com/title/tt2224026/?ref_=fn_tt_tt_1	3	0.1%
http://www.imdb.com/title/tt3332064/?ref_=fn_tt_tt_1	3	0.1%
http://www.imdb.com/title/tt0360717/?ref_=fn_tt_tt_1	3	0.1%
http://www.imdb.com/title/tt0077651/?ref_=fn_tt_tt_1	3	0.1%
http://www.imdb.com/title/tt1976009/?ref_=fn_tt_tt_1	3	0.1%
http://www.imdb.com/title/tt0232500/?ref_=fn_tt_tt_1	3	0.1%
http://www.imdb.com/title/tt0399201/?ref_=fn_tt_tt_1	2	0.1%
http://www.imdb.com/title/tt0363547/?ref_=fn_tt_tt_1	2	0.1%
http://www.imdb.com/title/tt0327437/?ref_=fn_tt_tt_1	2	0.1%
http://www.imdb.com/title/tt0120749/?ref_=fn_tt_tt_1	2	0.1%
Other values (3646)	3730	99.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
http://www.imdb.com/title/tt2224026/?ref_=fn_tt_tt_1	3	0.1%
http://www.imdb.com/title/tt0360717/?ref_=fn_tt_tt_1	3	0.1%
http://www.imdb.com/title/tt0077651/?ref_=fn_tt_tt_1	3	0.1%
http://www.imdb.com/title/tt1976009/?ref_=fn_tt_tt_1	3	0.1%
http://www.imdb.com/title/tt0232500/?ref_=fn_tt_tt_1	3	0.1%
http://www.imdb.com/title/tt3332064/?ref_=fn_tt_tt_1	3	0.1%
http://www.imdb.com/title/tt2058673/?ref_=fn_tt_tt_1	2	0.1%
http://www.imdb.com/title/tt1939659/?ref_=fn_tt_tt_1	2	0.1%
http://www.imdb.com/title/tt2053463/?ref_=fn_tt_tt_1	2	0.1%
http://www.imdb.com/title/tt1099212/?ref_=fn_tt_tt_1	2	0.1%
Other values (3646)	3730	99.3%

Most occurring characters

Value	Count	Frequency (%)
t	37560	19.2%
/	18780	9.6%
_	15024	7.7%
w	11268	5.8%
e	7512	3.8%
f	7512	3.8%
.	7512	3.8%
i	7512	3.8%
m	7512	3.8%
1	7504	3.8%
Other values (21)	67616	34.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	112680	57.7%
Other Punctuation	33804	17.3%
Decimal Number	30048	15.4%
Connector Punctuation	15024	7.7%
Math Symbol	3756	1.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	37560	33.3%
w	11268	10.0%
e	7512	6.7%
f	7512	6.7%
i	7512	6.7%
m	7512	6.7%
r	3756	3.3%
n	3756	3.3%
h	3756	3.3%
l	3756	3.3%
Other values (5)	18780	16.7%

Decimal Number

Value	Count	Frequency (%)
1	7504	25.0%
0	5171	17.2%
2	2717	9.0%
3	2385	7.9%
4	2296	7.6%
8	2136	7.1%
9	2055	6.8%
7	1994	6.6%
6	1967	6.5%
5	1823	6.1%

Other Punctuation

Value	Count	Frequency (%)
/	18780	55.6%
.	7512	22.2%
?	3756	11.1%
:	3756	11.1%

Connector Punctuation

Value	Count	Frequency (%)
_	15024	100.0%

Math Symbol

Value	Count	Frequency (%)
=	3756	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	112680	57.7%
Common	82632	42.3%

Most frequent character per script

Common

Value	Count	Frequency (%)
/	18780	22.7%
_	15024	18.2%
.	7512	9.1%
1	7504	9.1%
0	5171	6.3%
?	3756	4.5%
=	3756	4.5%
:	3756	4.5%
2	2717	3.3%
3	2385	2.9%
Other values (6)	12271	14.9%

Latin

Value	Count	Frequency (%)
t	37560	33.3%
w	11268	10.0%
e	7512	6.7%
f	7512	6.7%
i	7512	6.7%
m	7512	6.7%
r	3756	3.3%
n	3756	3.3%
h	3756	3.3%
l	3756	3.3%
Other values (5)	18780	16.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	195312	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	37560	19.2%
/	18780	9.6%
_	15024	7.7%
w	11268	5.8%
e	7512	3.8%
f	7512	3.8%
.	7512	3.8%
i	7512	3.8%
m	7512	3.8%
1	7504	3.8%
Other values (21)	67616	34.6%

num_user_for_reviews
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	940
Distinct (%)	25.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	336.8431842

Minimum	4
Maximum	5060
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	29.5 KiB

Quantile statistics

Minimum	4
5-th percentile	36
Q1	110
median	210
Q3	398.25
95-th percentile	1044.5
Maximum	5060
Range	5056
Interquartile range (IQR)	288.25

Descriptive statistics

Standard deviation	411.2273684
Coefficient of variation (CV)	1.220827339
Kurtosis	22.48974413
Mean	336.8431842
Median Absolute Deviation (MAD)	122
Skewness	3.844203716
Sum	1265183
Variance	169107.9485
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
50	18	0.5%
126	17	0.5%
26	17	0.5%
100	16	0.4%
162	16	0.4%
181	16	0.4%
88	15	0.4%
84	15	0.4%
194	15	0.4%
132	15	0.4%
Other values (930)	3596	95.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4	1	< 0.1%
5	3	0.1%
6	2	0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%
10	6	0.2%
11	4	0.1%
12	5	0.1%
13	2	0.1%

Value	Count	Frequency (%)
5060	1	< 0.1%
4667	1	< 0.1%
4144	1	< 0.1%
3646	1	< 0.1%
3597	1	< 0.1%
3516	1	< 0.1%
3400	1	< 0.1%
3286	1	< 0.1%
3189	1	< 0.1%
3054	1	< 0.1%

language
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	34
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Memory size	29.5 KiB

English	3598
French	34
Spanish	23
Mandarin	15
German	10
Other values (29)	76

Length

Max length	10
Median length	7
Mean length	6.99627263
Min length	4

Characters and Unicode

Total characters	26278
Distinct characters	40
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	15 ?
Unique (%)	0.4%

Sample

1st row	English
2nd row	English
3rd row	English
4th row	English
5th row	English

Common Values

Value	Count	Frequency (%)
English	3598	95.8%
French	34	0.9%
Spanish	23	0.6%
Mandarin	15	0.4%
German	10	0.3%
Japanese	10	0.3%
Cantonese	7	0.2%
Italian	7	0.2%
Portuguese	5	0.1%
Hindi	5	0.1%
Other values (24)	42	1.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
english	3598	95.8%
french	34	0.9%
spanish	23	0.6%
mandarin	15	0.4%
german	10	0.3%
japanese	10	0.3%
cantonese	7	0.2%
italian	7	0.2%
korean	5	0.1%
portuguese	5	0.1%
Other values (24)	42	1.1%

Most occurring characters

Value	Count	Frequency (%)
n	3766	14.3%
i	3685	14.0%
h	3666	14.0%
s	3655	13.9%
g	3611	13.7%
l	3610	13.7%
E	3598	13.7%
a	143	0.5%
e	109	0.4%
r	84	0.3%
Other values (30)	351	1.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	22522	85.7%
Uppercase Letter	3756	14.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	3766	16.7%
i	3685	16.4%
h	3666	16.3%
s	3655	16.2%
g	3611	16.0%
l	3610	16.0%
a	143	0.6%
e	109	0.5%
r	84	0.4%
c	40	0.2%
Other values (11)	153	0.7%

Uppercase Letter

Value	Count	Frequency (%)
E	3598	95.8%
F	35	0.9%
S	23	0.6%
M	17	0.5%
J	10	0.3%
G	10	0.3%
I	9	0.2%
D	8	0.2%
C	8	0.2%
P	8	0.2%
Other values (9)	30	0.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	26278	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	3766	14.3%
i	3685	14.0%
h	3666	14.0%
s	3655	13.9%
g	3611	13.7%
l	3610	13.7%
E	3598	13.7%
a	143	0.5%
e	109	0.4%
r	84	0.3%
Other values (30)	351	1.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	26278	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	3766	14.3%
i	3685	14.0%
h	3666	14.0%
s	3655	13.9%
g	3611	13.7%
l	3610	13.7%
E	3598	13.7%
a	143	0.5%
e	109	0.4%
r	84	0.3%
Other values (30)	351	1.3%

country
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	45
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Memory size	29.5 KiB

USA	2987
UK	318
France	101
Germany	80
Canada	59
Other values (40)	211

Length

Max length	14
Median length	3
Mean length	3.375665602
Min length	2

Characters and Unicode

Total characters	12679
Distinct characters	45
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	0.4%

Sample

1st row	USA
2nd row	USA
3rd row	UK
4th row	USA
5th row	USA

Common Values

Value	Count	Frequency (%)
USA	2987	79.5%
UK	318	8.5%
France	101	2.7%
Germany	80	2.1%
Canada	59	1.6%
Australia	39	1.0%
Spain	21	0.6%
Japan	15	0.4%
Hong Kong	13	0.3%
China	13	0.3%
Other values (35)	110	2.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
usa	2987	78.7%
uk	318	8.4%
france	101	2.7%
germany	81	2.1%
canada	59	1.6%
australia	39	1.0%
spain	21	0.6%
japan	15	0.4%
hong	13	0.3%
kong	13	0.3%
Other values (40)	150	4.0%

Most occurring characters

Value	Count	Frequency (%)
U	3305	26.1%
A	3034	23.9%
S	3019	23.8%
a	616	4.9%
n	379	3.0%
K	339	2.7%
r	273	2.2%
e	262	2.1%
i	120	0.9%
c	119	0.9%
Other values (35)	1213	9.6%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	10088	79.6%
Lowercase Letter	2550	20.1%
Space Separator	41	0.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	616	24.2%
n	379	14.9%
r	273	10.7%
e	262	10.3%
i	120	4.7%
c	119	4.7%
y	98	3.8%
d	93	3.6%
m	93	3.6%
l	91	3.6%
Other values (13)	406	15.9%

Uppercase Letter

Value	Count	Frequency (%)
U	3305	32.8%
A	3034	30.1%
S	3019	29.9%
K	339	3.4%
F	102	1.0%
G	83	0.8%
C	77	0.8%
I	30	0.3%
N	19	0.2%
H	15	0.1%
Other values (11)	65	0.6%

Space Separator

Value	Count	Frequency (%)
	41	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	12638	99.7%
Common	41	0.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
U	3305	26.2%
A	3034	24.0%
S	3019	23.9%
a	616	4.9%
n	379	3.0%
K	339	2.7%
r	273	2.2%
e	262	2.1%
i	120	0.9%
c	119	0.9%
Other values (34)	1172	9.3%

Common

Value	Count	Frequency (%)
	41	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12679	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
U	3305	26.1%
A	3034	23.9%
S	3019	23.8%
a	616	4.9%
n	379	3.0%
K	339	2.7%
r	273	2.2%
e	262	2.1%
i	120	0.9%
c	119	0.9%
Other values (35)	1213	9.6%

content_rating
Categorical

HIGH CORRELATION

Distinct	12
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	29.5 KiB

R	1700
PG-13	1308
PG	566
G	87
Not Rated	34
Other values (7)	61

Length

Max length	9
Median length	8
Mean length	2.693556976
Min length	1

Characters and Unicode

Total characters	10117
Distinct characters	24
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	PG-13
2nd row	PG-13
3rd row	PG-13
4th row	PG-13
5th row	PG-13

Common Values

Value	Count	Frequency (%)
R	1700	45.3%
PG-13	1308	34.8%
PG	566	15.1%
G	87	2.3%
Not Rated	34	0.9%
Unrated	22	0.6%
Approved	17	0.5%
X	10	0.3%
NC-17	6	0.2%
Passed	3	0.1%
Other values (2)	3	0.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
r	1700	44.9%
pg-13	1308	34.5%
pg	566	14.9%
g	87	2.3%
not	34	0.9%
rated	34	0.9%
unrated	22	0.6%
approved	17	0.4%
x	10	0.3%
nc-17	6	0.2%
Other values (3)	6	0.2%

Most occurring characters

Value	Count	Frequency (%)
G	1962	19.4%
P	1878	18.6%
R	1734	17.1%
-	1314	13.0%
1	1314	13.0%
3	1308	12.9%
t	90	0.9%
e	76	0.8%
d	76	0.8%
a	59	0.6%
Other values (14)	306	3.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	5671	56.1%
Decimal Number	2628	26.0%
Dash Punctuation	1314	13.0%
Lowercase Letter	470	4.6%
Space Separator	34	0.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	90	19.1%
e	76	16.2%
d	76	16.2%
a	59	12.6%
o	51	10.9%
r	39	8.3%
p	34	7.2%
n	22	4.7%
v	17	3.6%
s	6	1.3%

Uppercase Letter

Value	Count	Frequency (%)
G	1962	34.6%
P	1878	33.1%
R	1734	30.6%
N	40	0.7%
U	22	0.4%
A	17	0.3%
X	10	0.2%
C	6	0.1%
M	2	< 0.1%

Decimal Number

Value	Count	Frequency (%)
1	1314	50.0%
3	1308	49.8%
7	6	0.2%

Dash Punctuation

Value	Count	Frequency (%)
-	1314	100.0%

Space Separator

Value	Count	Frequency (%)
	34	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	6141	60.7%
Common	3976	39.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
G	1962	31.9%
P	1878	30.6%
R	1734	28.2%
t	90	1.5%
e	76	1.2%
d	76	1.2%
a	59	1.0%
o	51	0.8%
N	40	0.7%
r	39	0.6%
Other values (9)	136	2.2%

Common

Value	Count	Frequency (%)
-	1314	33.0%
1	1314	33.0%
3	1308	32.9%
	34	0.9%
7	6	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10117	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
G	1962	19.4%
P	1878	18.6%
R	1734	17.1%
-	1314	13.0%
1	1314	13.0%
3	1308	12.9%
t	90	0.9%
e	76	0.8%
d	76	0.8%
a	59	0.6%
Other values (14)	306	3.0%

budget
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
SKEWED

Distinct	359
Distinct (%)	9.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	46236849.64

Minimum	218
Maximum	1.22155 × 10¹⁰
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	29.5 KiB

Quantile statistics

Minimum	218
5-th percentile	1200000
Q1	10000000
median	25000000
Q3	50000000
95-th percentile	140000000
Maximum	1.22155 × 10¹⁰
Range	1.221549978 × 10¹⁰
Interquartile range (IQR)	40000000

Descriptive statistics

Standard deviation	226010288.5
Coefficient of variation (CV)	4.888098784
Kurtosis	2278.421463
Mean	46236849.64
Median Absolute Deviation (MAD)	17000000
Skewness	44.17414414
Sum	1.736656072 × 10¹¹
Variance	5.10806505 × 10¹⁶
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
20000000	157	4.2%
30000000	134	3.6%
15000000	132	3.5%
40000000	130	3.5%
25000000	126	3.4%
35000000	117	3.1%
10000000	105	2.8%
50000000	100	2.7%
60000000	90	2.4%
12000000	76	2.0%
Other values (349)	2589	68.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
218	1	< 0.1%
1100	1	< 0.1%
4500	1	< 0.1%
7000	2	0.1%
10000	2	0.1%
14000	1	< 0.1%
15000	1	< 0.1%
23000	1	< 0.1%
25000	2	0.1%
40000	2	0.1%

Value	Count	Frequency (%)
1.22155 × 10¹⁰	1	< 0.1%
4200000000	1	< 0.1%
2500000000	1	< 0.1%
2400000000	1	< 0.1%
2127519898	1	< 0.1%
1100000000	1	< 0.1%
1000000000	1	< 0.1%
700000000	2	0.1%
553632000	1	< 0.1%
400000000	1	< 0.1%

title_year
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct	74
Distinct (%)	2.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2002.976571

Minimum	1927
Maximum	2016
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	29.5 KiB

Quantile statistics

Minimum	1927
5-th percentile	1985
Q1	1999
median	2004
Q3	2010
95-th percentile	2014
Maximum	2016
Range	89
Interquartile range (IQR)	11

Descriptive statistics

Standard deviation	9.888108209
Coefficient of variation (CV)	0.004936706876
Kurtosis	8.291659729
Mean	2002.976571
Median Absolute Deviation (MAD)	5
Skewness	-2.070019489
Sum	7523180
Variance	97.77468395
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2002	190	5.1%
2006	189	5.0%
2009	182	4.8%
2008	182	4.8%
2005	182	4.8%
2004	181	4.8%
2001	179	4.8%
2010	168	4.5%
2011	168	4.5%
2013	163	4.3%
Other values (64)	1972	52.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1927	1	< 0.1%
1929	1	< 0.1%
1933	1	< 0.1%
1935	1	< 0.1%
1936	1	< 0.1%
1937	1	< 0.1%
1939	2	0.1%
1940	1	< 0.1%
1946	2	0.1%
1947	1	< 0.1%

Value	Count	Frequency (%)
2016	59	1.6%
2015	128	3.4%
2014	145	3.9%
2013	163	4.3%
2012	158	4.2%
2011	168	4.5%
2010	168	4.5%
2009	182	4.8%
2008	182	4.8%
2007	152	4.0%

actor_2_facebook_likes
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	855
Distinct (%)	22.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2021.775825

Minimum	0
Maximum	137000
Zeros	11
Zeros (%)	0.3%
Negative	0
Negative (%)	0.0%
Memory size	29.5 KiB

Quantile statistics

Minimum	0
5-th percentile	63
Q1	384.75
median	685.5
Q3	976
95-th percentile	12000
Maximum	137000
Range	137000
Interquartile range (IQR)	591.25

Descriptive statistics

Standard deviation	4544.908236
Coefficient of variation (CV)	2.247978326
Kurtosis	211.6549776
Mean	2021.775825
Median Absolute Deviation (MAD)	293.5
Skewness	9.010297621
Sum	7593790
Variance	20656190.87
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1000	278	7.4%
11000	107	2.8%
2000	90	2.4%
3000	72	1.9%
10000	45	1.2%
13000	39	1.0%
14000	39	1.0%
826	32	0.9%
4000	30	0.8%
12000	28	0.7%
Other values (845)	2996	79.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	11	0.3%
2	5	0.1%
3	6	0.2%
4	3	0.1%
5	4	0.1%
6	3	0.1%
7	1	< 0.1%
8	4	0.1%
9	5	0.1%
10	4	0.1%

Value	Count	Frequency (%)
137000	1	< 0.1%
29000	1	< 0.1%
27000	2	0.1%
25000	3	0.1%
23000	6	0.2%
22000	11	0.3%
21000	3	0.1%
20000	6	0.2%
19000	7	0.2%
18000	9	0.2%

imdb_score
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	74
Distinct (%)	2.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.465282215

Minimum	1.6
Maximum	9.3
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	29.5 KiB

Quantile statistics

Minimum	1.6
5-th percentile	4.6
Q1	5.9
median	6.6
Q3	7.2
95-th percentile	8
Maximum	9.3
Range	7.7
Interquartile range (IQR)	1.3

Descriptive statistics

Standard deviation	1.056246753
Coefficient of variation (CV)	0.1633721032
Kurtosis	1.146984546
Mean	6.465282215
Median Absolute Deviation (MAD)	0.7
Skewness	-0.7233267987
Sum	24283.6
Variance	1.115657204
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6.7	176	4.7%
6.6	162	4.3%
6.5	154	4.1%
6.4	146	3.9%
6.8	143	3.8%
6.1	142	3.8%
7.1	140	3.7%
7	140	3.7%
7.2	139	3.7%
6.9	135	3.6%
Other values (64)	2279	60.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1.6	1	< 0.1%
1.9	2	0.1%
2	1	< 0.1%
2.1	3	0.1%
2.2	1	< 0.1%
2.3	3	0.1%
2.4	2	0.1%
2.5	1	< 0.1%
2.7	4	0.1%
2.8	5	0.1%

Value	Count	Frequency (%)
9.3	1	< 0.1%
9.2	1	< 0.1%
9	2	0.1%
8.9	4	0.1%
8.8	5	0.1%
8.7	7	0.2%
8.6	8	0.2%
8.5	19	0.5%
8.4	14	0.4%
8.3	25	0.7%

aspect_ratio
Real number (ℝ_≥0)

Distinct	18
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.111014377

Minimum	1.18
Maximum	16
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	29.5 KiB

Quantile statistics

Minimum	1.18
5-th percentile	1.85
Q1	1.85
median	2.35
Q3	2.35
95-th percentile	2.35
Maximum	16
Range	14.82
Interquartile range (IQR)	0.5

Descriptive statistics

Standard deviation	0.3530679822
Coefficient of variation (CV)	0.1672503921
Kurtosis	636.4138366
Mean	2.111014377
Median Absolute Deviation (MAD)	0
Skewness	16.01440583
Sum	7928.97
Variance	0.1246570001
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=18)

Value	Count	Frequency (%)
2.35	1988	52.9%
1.85	1590	42.3%
1.37	48	1.3%
1.66	39	1.0%
1.78	34	0.9%
1.33	18	0.5%
2.2	11	0.3%
2.39	11	0.3%
2	3	0.1%
2.4	3	0.1%
Other values (8)	11	0.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1.18	1	< 0.1%
1.33	18	0.5%
1.37	48	1.3%
1.5	1	< 0.1%
1.66	39	1.0%
1.75	2	0.1%
1.77	1	< 0.1%
1.78	34	0.9%
1.85	1590	42.3%
2	3	0.1%

Value	Count	Frequency (%)
16	1	< 0.1%
2.76	3	0.1%
2.55	1	< 0.1%
2.4	3	0.1%
2.39	11	0.3%
2.35	1988	52.9%
2.24	1	< 0.1%
2.2	11	0.3%
2	3	0.1%
1.85	1590	42.3%

movie_facebook_likes
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	657
Distinct (%)	17.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	9353.82934

Minimum	0
Maximum	349000
Zeros	1742
Zeros (%)	46.4%
Negative	0
Negative (%)	0.0%
Memory size	29.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	227
Q3	11000
95-th percentile	48000
Maximum	349000
Range	349000
Interquartile range (IQR)	11000

Descriptive statistics

Standard deviation	21462.88912
Coefficient of variation (CV)	2.294556416
Kurtosis	33.40142354
Mean	9353.82934
Median Absolute Deviation (MAD)	227
Skewness	4.516866747
Sum	35132983
Variance	460655609.5
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1742	46.4%
1000	84	2.2%
11000	74	2.0%
10000	68	1.8%
12000	53	1.4%
15000	50	1.3%
13000	49	1.3%
14000	46	1.2%
16000	44	1.2%
2000	38	1.0%
Other values (647)	1508	40.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1742	46.4%
12	1	< 0.1%
19	1	< 0.1%
26	1	< 0.1%
27	1	< 0.1%
30	3	0.1%
32	1	< 0.1%
40	1	< 0.1%
42	1	< 0.1%
47	1	< 0.1%

Value	Count	Frequency (%)
349000	1	< 0.1%
199000	1	< 0.1%
197000	1	< 0.1%
191000	1	< 0.1%
190000	1	< 0.1%
175000	1	< 0.1%
165000	1	< 0.1%
164000	1	< 0.1%
153000	1	< 0.1%
150000	1	< 0.1%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	df_index	color	director_name	num_critic_for_reviews	duration	director_facebook_likes	actor_3_facebook_likes	actor_2_name	actor_1_facebook_likes	gross	genres	actor_1_name	movie_title	num_voted_users	cast_total_facebook_likes	actor_3_name	facenumber_in_poster	plot_keywords	movie_imdb_link	num_user_for_reviews	language	country	content_rating	budget	title_year	actor_2_facebook_likes	imdb_score	aspect_ratio	movie_facebook_likes
0	0	Color	James Cameron	723.0	178.0	0.0	855.0	Joel David Moore	1000.0	760505847.0	Action\|Adventure\|Fantasy\|Sci-Fi	CCH Pounder	Avatar	886204	4834	Wes Studi	0.0	avatar\|future\|marine\|native\|paraplegic	http://www.imdb.com/title/tt0499549/?ref_=fn_tt_tt_1	3054.0	English	USA	PG-13	237000000.0	2009.0	936.0	7.9	1.78	33000
1	1	Color	Gore Verbinski	302.0	169.0	563.0	1000.0	Orlando Bloom	40000.0	309404152.0	Action\|Adventure\|Fantasy	Johnny Depp	Pirates of the Caribbean: At World's End	471220	48350	Jack Davenport	0.0	goddess\|marriage ceremony\|marriage proposal\|pirate\|singapore	http://www.imdb.com/title/tt0449088/?ref_=fn_tt_tt_1	1238.0	English	USA	PG-13	300000000.0	2007.0	5000.0	7.1	2.35	0
2	2	Color	Sam Mendes	602.0	148.0	0.0	161.0	Rory Kinnear	11000.0	200074175.0	Action\|Adventure\|Thriller	Christoph Waltz	Spectre	275868	11700	Stephanie Sigman	1.0	bomb\|espionage\|sequel\|spy\|terrorist	http://www.imdb.com/title/tt2379713/?ref_=fn_tt_tt_1	994.0	English	UK	PG-13	245000000.0	2015.0	393.0	6.8	2.35	85000
3	3	Color	Christopher Nolan	813.0	164.0	22000.0	23000.0	Christian Bale	27000.0	448130642.0	Action\|Thriller	Tom Hardy	The Dark Knight Rises	1144337	106759	Joseph Gordon-Levitt	0.0	deception\|imprisonment\|lawlessness\|police officer\|terrorist plot	http://www.imdb.com/title/tt1345836/?ref_=fn_tt_tt_1	2701.0	English	USA	PG-13	250000000.0	2012.0	23000.0	8.5	2.35	164000
4	5	Color	Andrew Stanton	462.0	132.0	475.0	530.0	Samantha Morton	640.0	73058679.0	Action\|Adventure\|Sci-Fi	Daryl Sabara	John Carter	212204	1873	Polly Walker	1.0	alien\|american civil war\|male nipple\|mars\|princess	http://www.imdb.com/title/tt0401729/?ref_=fn_tt_tt_1	738.0	English	USA	PG-13	263700000.0	2012.0	632.0	6.6	2.35	24000
5	6	Color	Sam Raimi	392.0	156.0	0.0	4000.0	James Franco	24000.0	336530303.0	Action\|Adventure\|Romance	J.K. Simmons	Spider-Man 3	383056	46055	Kirsten Dunst	0.0	sandman\|spider man\|symbiote\|venom\|villain	http://www.imdb.com/title/tt0413300/?ref_=fn_tt_tt_1	1902.0	English	USA	PG-13	258000000.0	2007.0	11000.0	6.2	2.35	0
6	7	Color	Nathan Greno	324.0	100.0	15.0	284.0	Donna Murphy	799.0	200807262.0	Adventure\|Animation\|Comedy\|Family\|Fantasy\|Musical\|Romance	Brad Garrett	Tangled	294810	2036	M.C. Gainey	1.0	17th century\|based on fairy tale\|disney\|flower\|tower	http://www.imdb.com/title/tt0398286/?ref_=fn_tt_tt_1	387.0	English	USA	PG	260000000.0	2010.0	553.0	7.8	1.85	29000
7	8	Color	Joss Whedon	635.0	141.0	0.0	19000.0	Robert Downey Jr.	26000.0	458991599.0	Action\|Adventure\|Sci-Fi	Chris Hemsworth	Avengers: Age of Ultron	462669	92000	Scarlett Johansson	4.0	artificial intelligence\|based on comic book\|captain america\|marvel cinematic universe\|superhero	http://www.imdb.com/title/tt2395427/?ref_=fn_tt_tt_1	1117.0	English	USA	PG-13	250000000.0	2015.0	21000.0	7.5	2.35	118000
8	9	Color	David Yates	375.0	153.0	282.0	10000.0	Daniel Radcliffe	25000.0	301956980.0	Adventure\|Family\|Fantasy\|Mystery	Alan Rickman	Harry Potter and the Half-Blood Prince	321795	58753	Rupert Grint	3.0	blood\|book\|love\|potion\|professor	http://www.imdb.com/title/tt0417741/?ref_=fn_tt_tt_1	973.0	English	UK	PG	250000000.0	2009.0	11000.0	7.5	2.35	10000
9	10	Color	Zack Snyder	673.0	183.0	0.0	2000.0	Lauren Cohan	15000.0	330249062.0	Action\|Adventure\|Sci-Fi	Henry Cavill	Batman v Superman: Dawn of Justice	371639	24450	Alan D. Purwin	0.0	based on comic book\|batman\|sequel to a reboot\|superhero\|superman	http://www.imdb.com/title/tt2975590/?ref_=fn_tt_tt_1	3018.0	English	USA	PG-13	250000000.0	2016.0	4000.0	6.9	2.35	197000

Last rows

	df_index	color	director_name	num_critic_for_reviews	duration	director_facebook_likes	actor_3_facebook_likes	actor_2_name	actor_1_facebook_likes	gross	genres	actor_1_name	movie_title	num_voted_users	cast_total_facebook_likes	actor_3_name	facenumber_in_poster	plot_keywords	movie_imdb_link	num_user_for_reviews	language	country	content_rating	budget	title_year	actor_2_facebook_likes	imdb_score	aspect_ratio	movie_facebook_likes
3746	5008	Black and White	Kevin Smith	136.0	102.0	0.0	216.0	Brian O'Halloran	898.0	3151130.0	Comedy	Jason Mewes	Clerks	181749	2103	Jeff Anderson	4.0	clerk\|friend\|hockey\|video\|video store	http://www.imdb.com/title/tt0109445/?ref_=fn_tt_tt_1	615.0	English	USA	R	230000.0	1994.0	657.0	7.8	1.37	0
3747	5011	Color	Neil LaBute	80.0	97.0	119.0	7.0	Matt Malloy	136.0	2856622.0	Comedy\|Drama	Stacy Edwards	In the Company of Men	11550	254	Jason Dixie	0.0	business trip\|love\|misogynist\|office\|secretary	http://www.imdb.com/title/tt0119361/?ref_=fn_tt_tt_1	197.0	English	Canada	R	25000.0	1997.0	108.0	7.3	1.85	489
3748	5012	Color	David Ayer	233.0	109.0	453.0	120.0	Martin Donovan	1000.0	10499968.0	Action\|Crime\|Drama\|Thriller	Mireille Enos	Sabotage	47502	1458	Maurice Compte	3.0	dea\|drug cartel\|kicked in the crotch\|strip club\|tough girl	http://www.imdb.com/title/tt1742334/?ref_=fn_tt_tt_1	212.0	English	USA	R	35000000.0	2014.0	206.0	5.7	1.85	10000
3749	5015	Black and White	Richard Linklater	61.0	100.0	0.0	0.0	Richard Linklater	5.0	1227508.0	Comedy\|Drama	Tommy Pallotta	Slacker	15103	5	Jean Caffeine	0.0	austin texas\|moon\|pap smear\|texas\|twenty something	http://www.imdb.com/title/tt0102943/?ref_=fn_tt_tt_1	80.0	English	USA	R	23000.0	1991.0	0.0	7.1	1.37	2000
3750	5025	Color	John Waters	73.0	108.0	0.0	105.0	Mink Stole	462.0	180483.0	Comedy\|Crime\|Horror	Divine	Pink Flamingos	16792	760	Edith Massey	2.0	absurd humor\|egg\|gross out humor\|lesbian\|sex	http://www.imdb.com/title/tt0069089/?ref_=fn_tt_tt_1	183.0	English	USA	NC-17	10000.0	1972.0	143.0	6.1	1.37	0
3751	5026	Color	Olivier Assayas	81.0	110.0	107.0	45.0	Béatrice Dalle	576.0	136007.0	Drama\|Music\|Romance	Maggie Cheung	Clean	3924	776	Don McKellar	1.0	jail\|junkie\|money\|motel\|singer	http://www.imdb.com/title/tt0388838/?ref_=fn_tt_tt_1	39.0	French	France	R	4500.0	2004.0	133.0	6.9	2.35	171
3752	5027	Color	Jafar Panahi	64.0	90.0	397.0	0.0	Nargess Mamizadeh	5.0	673780.0	Drama	Fereshteh Sadre Orafaiy	The Circle	4555	5	Mojgan Faramarzi	0.0	abortion\|bus\|hospital\|prison\|prostitution	http://www.imdb.com/title/tt0255094/?ref_=fn_tt_tt_1	26.0	Persian	Iran	Not Rated	10000.0	2000.0	0.0	7.5	1.85	697
3753	5033	Color	Shane Carruth	143.0	77.0	291.0	8.0	David Sullivan	291.0	424760.0	Drama\|Sci-Fi\|Thriller	Shane Carruth	Primer	72639	368	Casey Gooden	0.0	changing the future\|independent film\|invention\|nonlinear timeline\|time travel	http://www.imdb.com/title/tt0390384/?ref_=fn_tt_tt_1	371.0	English	USA	PG-13	7000.0	2004.0	45.0	7.0	1.85	19000
3754	5035	Color	Robert Rodriguez	56.0	81.0	0.0	6.0	Peter Marquardt	121.0	2040920.0	Action\|Crime\|Drama\|Romance\|Thriller	Carlos Gallardo	El Mariachi	52055	147	Consuelo Gómez	0.0	assassin\|death\|guitar\|gun\|mariachi	http://www.imdb.com/title/tt0104815/?ref_=fn_tt_tt_1	130.0	Spanish	USA	R	7000.0	1992.0	20.0	6.9	1.37	0
3755	5042	Color	Jon Gunn	43.0	90.0	16.0	16.0	Brian Herzlinger	86.0	85222.0	Documentary	John August	My Date with Drew	4285	163	Jon Gunn	0.0	actress name in title\|crush\|date\|four word title\|video camera	http://www.imdb.com/title/tt0378407/?ref_=fn_tt_tt_1	84.0	English	USA	PG	1100.0	2004.0	23.0	6.6	1.85	456

Overview

Variables

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Other Punctuation

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

None

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Other Punctuation

Decimal Number

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

None

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Math Symbol

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Other Punctuation

Decimal Number